The business team defines new features or user stories during each iteration, and depends on a dedication to quality checks. At Orasi, we help our customers define a pragmatic and scientific approach to the amount of time and effort spent in validation. We break this down into the following areas:
- Code, data and requirement coverage
- Model-driven testing
- Root cause analysis of incidents
Tools that we train, install, configure, and implement include:
In the figure above, we address coverage processes for Java and .net code coverage, database permutation coverage, and resource utilization. Learn more about the test coverage workflow process here.